Results 11 to 20 of about 70,459 (296)
Constrained Spline Smoothing [PDF]
SIAM Journal on Numerical Analysis, 2008 Several results on constrained spline smoothing are obtained. In particular, we establish a general result, showing how one can constructively smooth any monotone or convex piecewise polynomial function (ppf) (or any $q$-monotone ppf, $q\geq 3$, with one additional degree of smoothness) to be of minimal defect while keeping it close to the original ...
Kirill A. Kopotun +2 more
openaire +2 more sources
Bayesian analysis for quantile smoothing spline
Statistical Theory and Related Fields, 2021 In Bayesian quantile smoothing spline [Thompson, P., Cai, Y., Moyeed, R., Reeve, D., & Stander, J. (2010). Bayesian nonparametric quantile regression using splines.
Zhongheng Cai, Dongchu Sun
doaj +1 more source
Five-Axis Tool Path Smoothing based on Cubic B-Spline Curves [PDF]
한국정밀공학회지, 2020 In CNC machining, NC data created by CAM software is usually linearly interpolated. This linearly interpolated tool path, however, may degrade the dynamic motion performance of the machine tool and the geometric accuracy in comparison with the reference ...
Keewoong Ahn, Sungchul Jee
doaj +1 more source
Regression with Ordered Predictors via Ordinal Smoothing Splines
Frontiers in Applied Mathematics and Statistics, 2017 Many applied studies collect one or more ordered categorical predictors, which do not fit neatly within classic regression frameworks. In most cases, ordinal predictors are treated as either nominal (unordered) variables or metric (continuous) variables ...
Nathaniel E. Helwig, Nathaniel E. Helwig
doaj +1 more source
A multiobjective path-smoothing algorithm based on node adjustment and turn-smoothing
Measurement + Control, 2023 Presently, mobile robots experience problems of time consumption, poor security, and high computational complexity in global path-smoothing algorithms.
Ning Cao +3 more
doaj +1 more source
Boosting Additive Models using Component-wise P-Splines [PDF]
, 2007 We consider an efficient approximation of Bühlmann & Yu’s L2Boosting algorithm with component-wise smoothing splines. Smoothing spline base-learners are replaced by P-spline base-learners which yield similar prediction errors but are more advantageous ...
Hothorn, Torsten, Schmid, Matthias
core +1 more source
On smooth multivariate spline functions [PDF]
Mathematics of Computation, 1983 In this paper the dimensions of bivariate spline spaces with simple cross-cut grid partitions are determined and expressions of their basis functions are given. Consequently, the closures of these spaces over all partitions of the same type can be determined.
Chui, Charles K., Wang, Ren-Hong
openaire +1 more source
Uniform error bounds for smoothing splines [PDF]
, 2006 Almost sure bounds are established on the uniform error of smoothing spline estimators in nonparametric regression with random designs. Some results of Einmahl and Mason (2005) are used to derive uniform error bounds for the approximation of the spline ...
Eggermont, P. P. B., LaRiccia, V. N.
core +1 more source
Point Set Denoising Using Bootstrap-Based Radial Basis Function. [PDF]
PLoS ONE, 2016 This paper examines the application of a bootstrap test error estimation of radial basis functions, specifically thin-plate spline fitting, in surface smoothing.
Khang Jie Liew +2 more
doaj +1 more source
Applied Mathematics Letters, 2000 The authors define a smoothing variational spline function by minimizing a quadratic functional in a Sobolev space and prove the convergence of the constructed splines.
Abdelouahed Kouibia, Miguel Pasadas
openaire +1 more source